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  • 1
    Electronic Resource
    Electronic Resource
    Genetic variation in Symbiodinium isolates from giant clams based on random-amplified-polymorphic DNA (RAPD) patterns (2000)
    Springer
    Marine biology 136 (2000), S. 829-836 
    Details
    ISSN: 1432-1793
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract We have compared the random-amplified-polymorphic DNA (RAPD) patterns of Symbiodinium isolates from seven species of giant clams to investigate the large genetic variation that we previously reported for this group of dinoflagellate symbionts using allozyme analysis. Comparisons of 163 RAPD characters by unweighted pair-group arithmetic-average cluster analysis (UPGMA) corroborate our previous findings that giant clams associate with a large number of genetically distinguishable algal symbionts, and that the isolates from a single Tridacna gigas individual form a group of closely related algae. However, the overall topology of the UPGMA tree constructed from RAPD data differs from that of the previous allozyme data, indicating that the combined data we have collected to date are insufficient to accurately infer phylogenetic affiliations between the isolates studied. Comparisons of our data set with those published for strains of Gymnodinium catenatum, a toxic dinoflagellate with a sexual life stage, shows that our isolates are even more diverse. Algal isolates from giant clams have a level of RAPD variation comparable to organisms that are able to undergo sexual recombination. This study demonstrates the sensitivity of the RAPD technique in detecting genetic diversity in this group of algae, and highlights the need for more comparative data for the major clades of Symbiodinium.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/s002270000290
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  • 2
    Electronic Resource
    Electronic Resource
    Analysis of Acoustic Emissions from a Steel Bridge Hanger (1998)
    Springer
    Research in nondestructive evaluation 10 (1998), S. 123-145 
    Details
    ISSN: 1432-2110
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Notes: Abstract. A steel bridge hanger with three fatigue cracks was monitored for acoustic emission (AE) using combined source location, strain gauge monitoring, and waveform analysis. AE activities from all three cracks were clearly identified and classified as crack growth or noise signals using location, strain magnitude, position on strain cycle, and uniqueness of waveforms as the primary criteria. A vast majority of AE from the cracks was found to be due to crack face rubbing and the crushing of corrosion products between the crack faces while limited crack growth emissions were detected. Results from laboratory tests on A588 compact tension specimens under variable-amplitude tension-tension fatigue loading were used to aid in interpreting AE data from the hanger. Crack growth AEs from these tests were detected only on overload cycles mostly above 92% of the maximum load while AE due to crack face rubbing occurred throughout the load cycle.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/PL00003903
    Library Location Call Number Volume/Issue/Year Availability
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    Paper (German National Licenses)
    Fulltext
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